{"id":"W4399913198","doi":"10.1145/3627043.3659550","title":"Designing Effective Warnings for Manipulative Designs in Mobile Applications","year":2024,"lang":"en","type":"article","venue":"","topic":"Safety Warnings and Signage","field":"Psychology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Human–computer interaction","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004980457,0.001704995,0.0004321039,0.001201795,0.0008403959,0.002480729,0.001355664,0.00173059,0.004172645],"category_scores_gemma":[0.04536158,0.0009980362,0.000607675,0.0003130719,0.001276227,0.003869636,0.00210549,0.00131311,0.001198425],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004843679,"about_ca_system_score_gemma":0.0007160716,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000450999,"about_ca_topic_score_gemma":0.001033949,"domain_scores_codex":[0.9956899,0.002462737,0.0003669884,0.0003402933,0.0009265509,0.0002134399],"domain_scores_gemma":[0.9689332,0.0216668,0.003888385,0.002668123,0.002311704,0.0005317283],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001811596,0.00241605,0.06121789,0.008875758,0.0003617874,0.002705267,0.04790353,0.01299679,0.1954114,0.02162991,0.01187226,0.6327978],"study_design_scores_gemma":[0.00119882,0.013629,0.1967428,0.01112217,0.002084945,0.008942743,0.03069689,0.1625425,0.1858129,0.08364883,0.3018858,0.001692709],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6018005,0.001640659,0.3671967,0.002387675,0.0002691601,0.002190502,0.0001317905,0.006395629,0.01798742],"genre_scores_gemma":[0.6817875,0.0006182912,0.3113747,0.0006541299,0.00006790787,0.0008378382,0.0001043577,0.0004122771,0.004142992],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004980457,"threshold_uncertainty_score":0.02633953,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04861568099350757,"score_gpt":0.3683532374804719,"score_spread":0.3197375564869644,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}